affectation des addresses obtenues
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@ -264,11 +264,43 @@ class Utils:
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)
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)
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response = requests.post(url, files=payload)
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response = requests.post(url, files=payload)
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# nettoyage
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os.remove("tmp_geocodage.csv")
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os.remove("tmp_geocodage.csv")
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if response.status_code != 200:
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if response.status_code != 200:
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raise errors.GeoApiError(response.status_code)
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raise errors.GeoApiError(response.status_code)
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# affectation des addresses
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for element in data["elements"]:
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for row in csv.DictReader(response.text.splitlines()):
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lat_ok = row["lat"] == str(element["lat"])
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lon_ok = row["lon"] == str(element["lon"])
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if lat_ok and lon_ok:
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element["tags"]["api_adresse:geometry:coordinates:lon"] = row[
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"result_longitude"
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]
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element["tags"]["api_adresse:geometry:coordinates:lat"] = row[
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"result_latitude"
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]
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element["tags"]["api_adresse:properties:label"] = row[
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"result_label"
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]
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element["tags"]["api_adresse:properties:housenumber"] = row[
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"result_housenumber"
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]
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element["tags"]["api_adresse:properties:type"] = row["result_type"]
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element["tags"]["api_adresse:properties:name"] = row["result_name"]
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element["tags"]["api_adresse:properties:postcode"] = row[
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"result_postcode"
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]
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element["tags"]["api_adresse:properties:citycode"] = row[
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"result_citycode"
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]
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element["tags"]["api_adresse:properties:city"] = row["result_city"]
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element["tags"]["api_adresse:properties:street"] = row[
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"result_street"
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]
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logging.info("Géocodage inversé terminé")
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logging.info("Géocodage inversé terminé")
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return data
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return data
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